Slides

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Watch videos:
(click on thumbnail to launch)

Part 1
1:24:24

!NOW PLAYING

Part 2
2:11:18

!NOW PLAYING

Description

The tutorial will be composed of three parts: # Foundational areas. The first part will consist of a brief introduction to each of the four foundational areas of SRL: logical inference, inductive logic programming, probabilistic inference, and statistical learning. Obviously, in the short time available no attempt will be made to comprehensively survey these areas; rather, the focus will be on providing the key concepts and techniques required for the subsequent parts. For example, the logical inference part will focus on the basics of satisfiability testing, and the probabilistic/statistical parts on Markov networks. The duration of this part will be approximately two hours (half hour per subtopic). # Putting the pieces together. The second part will introduce the key ideas in SRL and survey major approaches, using Markov logic as the unifying framework. It will present state-of-the-art algorithms for statistical relational learning and inference, and give an overview of the Alchemy open-source software. This part will essentially consist of putting together the pieces introduced in the first part. Its duration will be approximately an hour. # Applications. The third and final part will describe how to efficiently develop state-of-the-art non-i.i.d. applications in various areas, including: hypertext classification, link-based information retrieval, information extraction and integration, natural language processing, social network modeling, computational biology, and ubiquitous computing. This part will also include practical tips on using SRL, Markov logic and Alchemy - the kind of information that is seldom found in research papers, but is key to developing successful applications. The duration of this part will be approximately an hour.

Link this page

Reviews and comments:

I love Professor Domingos lectures and style. But I spend so much watching him, as he points the laser pen at the slide screen and the video is not on the screen but on him. Prof. Domingos is describing the slide, which has very important, relevant content, and all I can see is him!! I know he's good looking, but I want to see the slides. What was the person at the camera thinking??